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An Expectation Conditional Maximization approach for Gaussian graphical models
Bayesian graphical models are a useful tool for understanding dependence relationships among many variables, particularly in situations with external prior information. In high-dimensional settings, the space of possible graphs becomes enormous, rendering even state-of-the-art Bayesian stochastic se...
Tallennettuna:
| Julkaisussa: | J Comput Graph Stat |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7540244/ https://ncbi.nlm.nih.gov/pubmed/33033426 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2019.1609976 |
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